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Delivering oxygen-enriched CPAP respiratory support using a non-invasive ventilation device
Peter Culmer; Andrew Keeling; Cecilie Osnes; William Davis Birch; Dominic Jones; Ian Waters; Rory Hetherington; Martin Latham; Stuart Murdoch; Jiten Parmar; Tom Lawton; Stuart Murdoch; David Brettle; Nikil Kapur.
Affiliation
  • Peter Culmer; University of Leeds
  • Andrew Keeling; University of Leeds
  • Cecilie Osnes; University of Leeds
  • William Davis Birch; University of Leeds
  • Dominic Jones; University of Leeds
  • Ian Waters; University of Leeds
  • Rory Hetherington; University of Leeds
  • Martin Latham; Leeds Teaching Hospitals Trust
  • Stuart Murdoch; Leeds Teaching Hospitals Trust
  • Jiten Parmar; Leeds Teaching Hospitals Trust
  • Tom Lawton; Bradford Teaching Hospitals NHS Foundation Trust
  • Stuart Murdoch; Leeds Teaching Hospitals Trust
  • David Brettle; Leeds Teaching Hospitals Trust
  • Nikil Kapur; University of Leeds
Preprint in English | medRxiv | ID: ppmedrxiv-20055665
ABSTRACT
The COVID-19 pandemic has placed a dramatic increase in demand on healthcare providers to provide respiratory support for patients with moderate to severe symptoms. In conjunction, the pandemic has challenged existing supply-chains to meet demands for medical equipment and resources. In response to these challenges, we report our work to repurpose two existing non-invasive ventilation (NIV) systems to provide solutions for the delivery of oxygen-enriched CPAP ventilation which are inherently resource and oxygen-efficient. We consider adaptation of CPAP systems typically used for sleep apnoea, together with a new Venturi-valve design which can be readily produced through 3D printing. Our aim in both cases was to support Positive end-expiratory pressure (PEEP) of [≥]10cmH2O while achieving [≥]40% FiO2. This supports a crucial part in the patient pathway for COVID-19 treatment, helping to provide early respiratory support prior to invasive ventilation options in the ICU.
License
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Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2020 Document type: Preprint
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